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  • Visual web page designer for Django?

    - by Robert Oschler
    I'm just starting my Django learning so pardon me if any part of this question is off-base. I have done a lot of web searching for information on the equivalent of a visual web page designer for Django and I don't seem to be getting very far. I have experience with Delphi (Object Pascal), C, C++, Python, PHP, Java, and Javascript and have created and maintained several web sites that included MySQL database dependent content. For the longest time I've been using one of the standard WYSIWIG designers to design the actual web pages, with any needed back end programming done via Forms or AJAX calls that call server side PHP scripts. I have grown tired of the quirks, bugs, and other annoyances associated with the program. Also, I find myself hungry for the functionality and reliability a good MVC based framework would provide me so I could really express myself with custom code easily. So I am turning to Django/Python. However, I'm still a junkie for a good WYSIWIG designer for the layout of web pages. I know there are some out there that thrive on opening up a text editor, possibly with some code editor tools to assist, and pounding out pages. But I do adore a drag and drop editor for simple page layout, especially for things like embedded images, tables, buttons, etc. I found a few open source projects on GitHub but they seem to be focused on HTML web forms, not a generic web page editor. So can I get what I want here? The supreme goal would be to find not only a web page editor that creates Django compatible web pages, but if I dare say it, have a design editor that could add Python code stubs to various page elements in the style of the Delph/VCL or VB design editors. Note, I also have the Wing IDE Professional IDE, version 2.0. As a side note, if you know of any really cool, fun, or time-saving Python libraries that are designed for easy integration into Django please tell me about them. -- roschler

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  • Master-Details with RadGridView for Silverlight 4, WCF RIA Services RC2 and Entity Framework 4.0

    I have prepared a sample project with the Silverlight 4 version of RadGridView released yesterday. The sample project was created with Visual Studio 2010, WCF RIA Services RC 2 for Visual Studio 2010, and ADO.NET Entity Framework (.NET 4). I have decided to use the SalesOrderHeader and SalesOrderDetails tables from the Adventure Works Database, because they provide the perfect one-to-many relationship: I will not go over the steps for creating the ADO.NET Entity Data Model and the Domain Service Class. In case you are not familiar with them, you should start with Brad Abrams series of blog posts and read this blog after that. To enable the master-details relationship we need to modify two things. First of all we need to include the automatic retrieval of the child entities in the domain service class. We do this by using the Include method: 1: public IQueryable<SalesOrderHeader> GetSalesOrderHeaders()...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • MySQL Connect Conference: My Experience

    - by Hema Sridharan
    It was a great experience to attend the MySQL Connect Conference for the first time ever. Personally I was very much enthralled to present about "How to make MySQL Backups" besides attending different sessions to absorb more knowledge about the technical prospects of MySQL. One of the agenda items in my presentation was "MySQL Enterprise Backup" functionality and features. There were total of 40 attendees in the session, who were very much interested about the MySQL Enterprise Backup product and gave positive feedback as well as areas of improvements on our product. Some of our features brought lot of excitement and smile amongst our customers including,1. Performance improvements in MEB 3.8.02. Incremental Base option from MEB 3.7.1 where there is no need to specify the directory name of the previous backup to fetch the lsn values and instead can directly fetch from backup_history table using --incremental-base=history: last_backup3. only-innodb-with-frm option introduced in MEB 3.7 version. A true online hot backup of InnoDB tables.I also attended a session with similar topic "MEB Best Practices" conducted by Sanjay Manwani, where he double clicked all the features and best strategies of backup & restore. I also got an opportunity to attend other sessions including,* Enabling the new generation of web and cloud services with MySQL 5.6 replication* Getting the most out of MySQL with MySQL Workbench* InnoDB compression for OLTP* Scaling for the Web and Cloud with MySQL replication.Above all, had some special moments in the conference including meeting some of the executives / colleagues for the first time f2f. On a whole, the first MySQL Connect conference was a great success in terms of manifesting the features of our products, direct feedback from customer and team building.  We also had some applauding yahoo moments when Tomas Ulin announced different releases including MySQL 5.6 RC, Connector Python 1.0 and ODBC 5.2 release, MySQL Cluster 7.3, additions to MySQL Enterprise edition etc.

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  • dependency problems at installation from mysql-server-5.5

    - by Furtano
    qcons@014-QCONS:/var/lib$ sudo apt-get install -f mysql-server Paketlisten werden gelesen... Fertig Abhängigkeitsbaum wird aufgebaut Statusinformationen werden eingelesen... Fertig mysql-server ist schon die neueste Version. 0 aktualisiert, 0 neu installiert, 0 zu entfernen und 0 nicht aktualisiert. 2 nicht vollständig installiert oder entfernt. Nach dieser Operation werden 0 B Plattenplatz zusätzlich benutzt. Möchten Sie fortfahren [J/n]? j mysql-server-5.5 (5.5.28-0ubuntu0.12.04.2) wird eingerichtet ... 121112 11:16:52 [Note] Plugin 'FEDERATED' is disabled. 121112 11:16:52 InnoDB: The InnoDB memory heap is disabled 121112 11:16:52 InnoDB: Mutexes and rw_locks use GCC atomic builtins 121112 11:16:52 InnoDB: Compressed tables use zlib 1.2.3.4 121112 11:16:52 InnoDB: Initializing buffer pool, size = 128.0M 121112 11:16:52 InnoDB: Completed initialization of buffer pool 121112 11:16:52 InnoDB: highest supported file format is Barracuda. 121112 11:16:53 InnoDB: Waiting for the background threads to start 121112 11:16:54 InnoDB: 1.1.8 started; log sequence number 1595675 121112 11:16:54 InnoDB: Starting shutdown... 121112 11:16:54 InnoDB: Shutdown completed; log sequence number 1595675 start: Job failed to start invoke-rc.d: initscript mysql, action "start" failed. dpkg: Fehler beim Bearbeiten von mysql-server-5.5 (--configure): Unterprozess installiertes post-installation-Skript gab den Fehlerwert 1 zurück dpkg: Abhängigkeitsprobleme verhindern Konfiguration von mysql-server: mysql-server hängt ab von mysql-server-5.5; aber: Paket mysql-server-5.5 ist noch nicht konfiguriert. dpkg: Fehler beim Bearbeiten von mysql-server (--configure): Abhängigkeitsprobleme - verbleibt unkonfiguriert Es wurde kein Apport-Bericht verfasst, da die Fehlermeldung darauf hindeutet, dass dies lediglich ein Folgefehler eines vorherigen Problems ist. Fehler traten auf beim Bearbeiten von: mysql-server-5.5 mysql-server E: Sub-process /usr/bin/dpkg returned an error code (1)

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  • ASP.NET 4.0- CompressionEnabled Property in session state 4.0

    - by Jalpesh P. Vadgama
    Hello Guys, This blog has been quite for few days. Because i was busy with some personal and professional work both and that’s why i am not able to work on writing blog posts which i have discovered in last few days. Here is one features of asp.net 4.0 that I am going to explain. As a web developer we all know about session. Without the use of session any database driven web application is incomplete. As we all know unlike windows form web forms are state less so when user interacts with web application we need to maintain state amongst web pages and we are using session for maintaining state between web pages for each users. ASP.NET is also provide same kind of session state functionalities. ASP.Net Session state identify request coming for same user and same browser for specific session time out interval and its preserves values in session for that specific time intervals and that’s help us in maintaining state amongst web pages for a specific user. ASP.NET Session state allows us to store session in three way 1. IncProc 2. Session State Service 3. SQL Server. In SQL Server mode it will store session in SQL Server tables instead of storing it in Server Memory. ASP.NET 4.0 provides a new property called Compression Enabled that means when we store values in serialized form in SQL Server with GZip Compression and that results in better performance. For that you need to store property in web.config like following. <sessionState allowCustomSqlDatabase="true" sqlConnectionString="data source=Server;Initial Catalog=aspnetsessionstatedb" compressionEnabled="true" /> That’s it now with the use of this property you can have better performance when you are storing large amount of data in session.But still you need to decide that why you want to stored large amount of data in session because its against best practices. Technorati Tags: Session,ASP.NET 4.0

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  • Webcast - Oracle Database In-Memory Option

    - by Thanos Terentes Printzios
    Next to the recent announcement by Larry Ellison on the Future of the Database, we are happy to share this exclusive series of live webcasts from Oracle Database Product Management, where you can learn more about the brand new Oracle Database 12c In-Memory option. Oracle Database In-Memory is Oracle’s new memory-optimized technology that transparently accelerates analytic, data warehousing, and reporting workloads, while also accelerating transaction processing (OLTP) workloads. Participants will learn about Oracle Database In-Memory benefits, features, and leading edge architecture.  The Database In-Memory architecture provides the ability to easily process data orders of magnitude faster by simply enabling the feature and identifying tables to bring in-memory without application changes. Details on Oracle Database In-Memory’s ease of use and management, scalability, and availability will also be covered. Please join us to learn more about Oracle Database In-Memory and get first-hand knowledge of this important new feature. Delivery Format This FREE online LIVE eSeminar will be delivered over the Web.These Oracle webcasts are FREE for Customers, System Integrators, ISVs, VARs and Platform Partners. Presenter: Richard Jacobs, Oracle Solution Architect  Europe Webcast 1 Date: August 29, 2014 @ 10:00 am to 11:00 am Central European Summer Time (CEST)Register Here! Europe Webcast 2 Date: September 29, 2014 @ 10:00 am to 11:00 am Central European Summer Time (CEST)Register Here!

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  • HealthSouth Upgrades to Oracle Database 11g Release 2 and Oracle RAC

    - by jenny.gelhausen
    HealthSouth Corporation, the nation's largest provider of inpatient rehabilitation services, has upgraded to Oracle Database 11g Release 2 underneath PeopleSoft Enterprise Human Capital Management. Additionally, HealthSouth improved the availability and performance of its Oracle PeopleSoft Enterprise applications and Enterprise Data Warehouse using Oracle Database 11g and Oracle Real Application Clusters. Oracle Database options -- Oracle Advanced Compression and Oracle Partitioning are key to HealthSouth's data lifecycle management practices and to utilizing storage systems more efficiently. Using compression on both partitioned as well as non-partitioned tables in its data warehouse, HealthSouth has seen a 4X storage reduction without any cost to performance. "Oracle Database 11g, along with Oracle Real Application Clusters, Advanced Compression and Partitioning, all lend themselves to delivering highly available, performant data warehousing," said Henry Lovoy, Data Manager, HealthSouth Corporation. Press Release var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • Dealing With Table Borders In OOXML

    - by Tim Murphy
    Note: Cross posted from Coding The Document. Permalink Formatting tables in a document programmatically can be a very complex task.  This is the major reason which we start our document generation projects with templates instead of building components in a document by hand. Borders are on aspect of a table that you may want to fomat.  Borders are used to make certain content in a table stand out.  If you need to conditionally set and remove borders there is something that you need to be aware of.  Even in OOXML you have the concepts of styles, inheriting styles and overriding styles. When Word defines a table it will reference a global style such as “TableGrid”.  This style will include the borders for the table.  Specifically the InsideHorizontalBorder and InsideVerticalBorder define the borders for the cells.  These can be overridden by the TableCellBorders collection of a particular cell.  Adding a double right border on a cell is as easy as the couple of lines of code below. wordprocessing.TableCellBorders borders = new wordprocessing.TableCellBorders(); borders.RightBorder = new RightBorder(){Val = BorderValues.Double, Color = "000000", ThemeColor = ThemeColorValues.Text1, Size = (UInt32Value)4U, Space = (UInt32Value)0U }; cell.TableCellProperties.Append(borders); If I want to revert back to the table’s style for cell borders I simply need to remove all children from the TableCellBorders collection.  It is like removing a class identifier from a TD tag in HTML.  The style in the parent object takes back over. With the knowledge of how the borders work you can take the concept and apply it to other effects of styles. del.icio.us Tags: OOXML,Office Open XML,Microsoft Office 2007,Microsoft Word 2007,table,style,border

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  • Implementation details of database synchronisation API

    - by Daniel
    I want to achieve a database synchronisation between my server database and a client application. The server would run MySQL and the applications may run different database technologies, their implementation isn't important. I have a MySQL database online and web accessible via an API I wrote in PHP (just a detail). My client application ships with a copy of the online data. As time passes my goal is to check for any changes in the online database and make these updates available to the client app via an API call, by sending a date to an API endpoint corresponding to the last date the app was updated, the response would be a JSON filled with all new objects and updated objects, and delete IDs, this makes possible to update the local store appropriately. Essentially I want to do this: http://dbconvert.com/synchronization.php My question is about the implementation details. Would I need to add a column to my database tables with a "last modified" date? Since the client app could be very out of date if it's been offline for a long time, does that also mean I shouldn't delete data from the online database but instead have another column called "delete" set to 1 and a modified date updated appropriately? Would my SQL query simply check for all data with a modified date superior then the date passed into the API request by the client? I feel like there's a lot more to it then having a ton of dates everywhere. And also, worry that I will need to persist a lot of old data in order to ensure that old versions of the client app always have the opportunity to delete parts of their data when they are able to sync.

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  • Creating PDF Documents with ASP.NET and iTextSharp

    The Portable Document Format (PDF) is a popular file format for documents. Due to their ubiquity and layout capabilities, it's not uncommon for a websites to use PDF technology. For example, an eCommerce store may offer a "printable receipt" option that, when selected, displays a PDF file within the browser. Last week's article, Filling in PDF Forms with ASP.NET and iTextSharp, looked at how to work with a special kind of PDF document, namely one that has one or more fields defined. A PDF document can contain various types of user interface elements, which are referred to as fields. For instance, there is a text field, a checkbox field, a combobox field, and more. Typically, the person viewing the PDF on her computer interacts with the document's fields; however, it is possible to enumerate and fill a PDF's fields programmatically, as we saw in last week's article. This article continues our investigation into iTextSharp, a .NET open source library for PDF generation, showing how to use iTextSharp to create PDF documents from scratch. We start with an example of how to programmatically define and piece together paragraphs, tables, and images into a single PDF file. Following that, we explore how to use iTextSharp's built-in capabilities to convert HTML into PDF. Read on to learn more! Read More >

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  • Top 5 Developer Enabling Nuggets in MySQL 5.6

    - by Rob Young
    MySQL 5.6 is truly a better MySQL and reflects Oracle's commitment to the evolution of the most popular and widelyused open source database on the planet.  The feature-complete 5.6 release candidate was announced at MySQL Connect in late September and the production-ready, generally available ("GA") product should be available in early 2013.  While the message around 5.6 has been focused mainly on mass appeal, advanced topics like performance/scale, high availability, and self-healing replication clusters, MySQL 5.6 also provides many developer-friendly nuggets that are designed to enable those who are building the next generation of web-based and embedded applications and services. Boiling down the 5.6 feature set into a smaller set, of simple, easy to use goodies designed with developer agility in mind, these things deserve a quick look:Subquery Optimizations Using semi-JOINs and late materialization, the MySQL 5.6 Optimizer delivers greatly improved subquery performance. Specifically, the optimizer is now more efficient in handling subqueries in the FROM clause; materialization of subqueries in the FROM clause is now postponed until their contents are needed during execution. Additionally, the optimizer may add an index to derived tables during execution to speed up row retrieval. Internal tests run using the DBT-3 benchmark Query #13, shown below, demonstrate an order of magnitude improvement in execution times (from days to seconds) over previous versions. select c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity)from customer, orders, lineitemwhere o_orderkey in (                select l_orderkey                from lineitem                group by l_orderkey                having sum(l_quantity) > 313  )  and c_custkey = o_custkey  and o_orderkey = l_orderkeygroup by c_name, c_custkey, o_orderkey, o_orderdate, o_totalpriceorder by o_totalprice desc, o_orderdateLIMIT 100;What does this mean for developers?  For starters, simplified subqueries can now be coded instead of complex joins for cross table lookups: SELECT title FROM film WHERE film_id IN (SELECT film_id FROM film_actor GROUP BY film_id HAVING count(*) > 12); And even more importantly subqueries embedded in packaged applications no longer need to be re-written into joins.  This is good news for both ISVs and their customers who have access to the underlying queries and who have spent development cycles writing, testing and maintaining their own versions of re-written queries across updated versions of a packaged app.The details are in the MySQL 5.6 docs. Online DDL OperationsToday's web-based applications are designed to rapidly evolve and adapt to meet business and revenue-generationrequirements. As a result, development SLAs are now most often measured in minutes vs days or weeks. For example, when an application must quickly support new product lines or new products within existing product lines, the backend database schema must adapt in kind, and most commonly while the application remains available for normal business operations.  MySQL 5.6 supports this level of online schema flexibility and agility by providing the following new ALTER TABLE online DDL syntax additions:  CREATE INDEX DROP INDEX Change AUTO_INCREMENT value for a column ADD/DROP FOREIGN KEY Rename COLUMN Change ROW FORMAT, KEY_BLOCK_SIZE for a table Change COLUMN NULL, NOT_NULL Add, drop, reorder COLUMN Again, the details are in the MySQL 5.6 docs. Key-value access to InnoDB via Memcached APIMany of the next generation of web, cloud, social and mobile applications require fast operations against simple Key/Value pairs. At the same time, they must retain the ability to run complex queries against the same data, as well as ensure the data is protected with ACID guarantees. With the new NoSQL API for InnoDB, developers have allthe benefits of a transactional RDBMS, coupled with the performance capabilities of Key/Value store.MySQL 5.6 provides simple, key-value interaction with InnoDB data via the familiar Memcached API.  Implemented via a new Memcached daemon plug-in to mysqld, the new Memcached protocol is mapped directly to the native InnoDB API and enables developers to use existing Memcached clients to bypass the expense of query parsing and go directly to InnoDB data for lookups and transactional compliant updates.  The API makes it possible to re-use standard Memcached libraries and clients, while extending Memcached functionality by integrating a persistent, crash-safe, transactional database back-end.  The implementation is shown here:So does this option provide a performance benefit over SQL?  Internal performance benchmarks using a customized Java application and test harness show some very promising results with a 9X improvement in overall throughput for SET/INSERT operations:You can follow the InnoDB team blog for the methodology, implementation and internal test cases that generated these results here. How to get started with Memcached API to InnoDB is here. New Instrumentation in Performance SchemaThe MySQL Performance Schema was introduced in MySQL 5.5 and is designed to provide point in time metrics for key performance indicators.  MySQL 5.6 improves the Performance Schema in answer to the most common DBA and Developer problems.  New instrumentations include: Statements/Stages What are my most resource intensive queries? Where do they spend time? Table/Index I/O, Table Locks Which application tables/indexes cause the most load or contention? Users/Hosts/Accounts Which application users, hosts, accounts are consuming the most resources? Network I/O What is the network load like? How long do sessions idle? Summaries Aggregated statistics grouped by statement, thread, user, host, account or object. The MySQL 5.6 Performance Schema is now enabled by default in the my.cnf file with optimized and auto-tune settings that minimize overhead (< 5%, but mileage will vary), so using the Performance Schema ona production server to monitor the most common application use cases is less of an issue.  In addition, new atomic levels of instrumentation enable the capture of granular levels of resource consumption by users, hosts, accounts, applications, etc. for billing and chargeback purposes in cloud computing environments.The MySQL docs are an excellent resource for all that is available and that can be done with the 5.6 Performance Schema. Better Condition Handling - GET DIAGNOSTICSMySQL 5.6 enables developers to easily check for error conditions and code for exceptions by introducing the new MySQL Diagnostics Area and corresponding GET DIAGNOSTICS interface command. The Diagnostic Area can be populated via multiple options and provides 2 kinds of information:Statement - which provides affected row count and number of conditions that occurredCondition - which provides error codes and messages for all conditions that were returned by a previous operation The addressable items for each are: The new GET DIAGNOSTICS command provides a standard interface into the Diagnostics Area and can be used via the CLI or from within application code to easily retrieve and handle the results of the most recent statement execution.  An example of how it is used might be:mysql> DROP TABLE test.no_such_table; ERROR 1051 (42S02): Unknown table 'test.no_such_table' mysql> GET DIAGNOSTICS CONDITION 1 -> @p1 = RETURNED_SQLSTATE, @p2 = MESSAGE_TEXT; mysql> SELECT @p1, @p2; +-------+------------------------------------+| @p1   | @p2                                | +-------+------------------------------------+| 42S02 | Unknown table 'test.no_such_table' | +-------+------------------------------------+ Options for leveraging the MySQL Diagnotics Area and GET DIAGNOSTICS are detailed in the MySQL Docs.While the above is a summary of some of the key developer enabling 5.6 features, it is by no means exhaustive. You can dig deeper into what MySQL 5.6 has to offer by reading this developer zone article or checking out "What's New in MySQL 5.6" in the MySQL docs.BONUS ALERT!  If you are developing on Windows or are considering MySQL as an alternative to SQL Server for your next project, application or shipping product, you should check out the MySQL Installer for Windows.  The installer includes the MySQL 5.6 RC database, all drivers, Visual Studio and Excel plugins, tray monitor and development tools all a single download and GUI installer.   So what are your next steps? Register for Dec. 13 "MySQL 5.6: Building the Next Generation of Web-Based Applications and Services" live web event.  Hurry!  Seats are limited. Download the MySQL 5.6 Release Candidate (look under the Development Releases tab) Provide Feedback <link to http://bugs.mysql.com/> Join the Developer discussion on the MySQL Forums Explore all MySQL Products and Developer Tools As always, thanks for your continued support of MySQL!

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  • Is HTML5/WebGL performance bad on low-end Android tablets and phones?

    - by Boris van Schooten
    I've developed a couple of WebGL games, and am trying them out on Android. I found that they run very slowly on my tablet, however. For example, a game with 10 sprites or so runs as 5fps. I tried Chrome and CocoonJS, but they are comparably slow. I also tried other games, and even games with only 5 or so moving sprites are this slow. This seems inconsistent with reports from others, such as this benchmark. Typically, when people talk about HTML5 game performance, they mention well-known and higher-end phones and tables. While my 7" tablet is cheap (I believe it's a relabeled Allwinner tablet, apparently with the Mali 400 GPU), I found it generally has a good gaming performance. All the games I tried run smoothly. I also developed an OpenGL ES 2 demo with 200 shaded 3D objects, and it ran at 50fps. My suspicion is that many low-end and white-label devices may have unacceptable HTML5/WebGL support, which means there may be a large section of gamers you will not reach when you choose this as your platform. I've heard rumors about inconsistent performance of HTML5 and WebGL on different devices, but no clear picture emerges. I would like to hear if any of you have had similar experiences with HTML5 or WebGL, or whether I can find information about the percentage of devices I can expect to have decent performance.

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  • Understand how the TLB (Translation Lookaside buffer) works and interacts with pagetable and addresses

    - by Darxval
    So I am trying to understand this TLB (Translation Lookaside Buffer). But I am having a hard time grasping it. in context of having two streams of addresses, tlb and pagetable. I don't understand the association of the TLB to the streamed addresses/tags and page tables. a. 4669, 2227, 13916, 34587, 48870, 12608, 49225 b. 12948, 49419, 46814, 13975, 40004, 12707 TLB Valid Tag Physical Page Number 1 11 12 1 7 4 1 3 6 0 4 9 Page Table Valid Physical Page or in Disk 1 5 0 Disk 0 Disk 1 6 1 9 1 11 0 Disk 1 4 0 Disk 0 Disk 1 3 1 12 How does the TLB work with the pagetable and addresses? The homework question given is: Given the address stream in the table, and the initial TLB and page table states shown above, show the final state of the system also list for each reference if it is a hit in the TLB, a hit in the page table or a page fault. But I think first i just need to know how does the TLB work with these other elements and how to determine things. How do I even start to answer this question?

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  • Structuring database for multi-object "activity" and "following" functionalities

    - by romaninsh
    I am working on a web application which operate with different types of objects such as user, profiles, pages etc. All objects have unique object_id. When objects interact it may produce "activity", such as user posting on the page or profile. Activity may be related to multiple objects through their object_id. Users may also follow "objects" and they need to be able to see stream of relevant activity. Could you provide me with some data structure suggestions which would be efficient and scalable? My goal is to show activity limited to the objects which user is following I am not limited by relational databases. Update As I'm getting advices on ORM and how index things, I'd like to again, stress my question. According to my current design model the database structure looks like this: As you can see - it's quite easy to implement database like that. Activity and Follower tables do contain much larger amount of records than the upper level but it's tolerable. But when it comes for me to create a "timeline" table, it becomes a nightmare. For every user I need to reference all the object activities which he follows. In terms of records it easily gets out of control. Please suggest me how to change this structure to avoid timeline creation and also be abel to quickly retrieve activity for any given user. Thanks.

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  • SQLAuthority News – Scaling Up Your Data Warehouse with SQL Server 2008 R2

    - by pinaldave
    Data Warehouses are suppose to be containing huge amount of the data from the beginning. However, there are cases when too big is not enough. Every Data Warehouse Admin will agree that they have faced situation where they will need to scale up their data warehouse. Microsoft has released white paper discussing the same. Here is the abstract from the Microsoft Official site: SQL Server 2008 introduced many new functional and performance improvements for data warehousing, and SQL Server 2008 R2 includes all these and more. This paper discusses how to use SQL Server 2008 R2 to get great performance as your data warehouse scales up. We present lessons learned during extensive internal data warehouse testing on a 64-core HP Integrity Superdome during the development of the SQL Server 2008 release, and via production experience with large-scale SQL Server customers. Our testing indicates that many customers can expect their performance to nearly double on the same hardware they are currently using, merely by upgrading to SQL Server 2008 R2 from SQL Server 2005 or earlier, and compressing their fact tables. We cover techniques to improve manageability and performance at high-scale, encompassing data loading (extract, transform, load), query processing, partitioning, index maintenance, indexed view (aggregate) management, and backup and restore. Scaling Up Your Data Warehouse with SQL Server 2008 R2 Reference: Pinal Dave (http://blog.SQLAuthority.com)   Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Output = MAXDOP 1

    - by Dave Ballantyne
    It is widely know that data modifications on table variables do not support parallelism, Peter Larsson has a good example of that here .  Whilst tracking down a performance issue,  I saw that using the OUTPUT clause also causes parallelism to not be used. By way of example,  first lets create two tables with a simple parent and child (one to one) relationship, and then populate them with 100,000 rows. Drop table ParentDrop table Childgocreate table Parent(id integer identity Primary Key,data1 char(255))Create Table Child(id integer Primary Key)goinsert into Parent(data1)Select top 1000000 NULL from sys.columns a cross join sys.columns b insert into ChildSelect id from Parentgo If we then execute update Parent set data1 =''from Parentjoin Child on Parent.Id = Child.Id where Parent.Id %100 =1 and Child.id %100 =1 We should see an execution plan using parallelism such as   However,  if the OUTPUT clause is now used update Parent set data1 =''output inserted.idfrom Parentjoin Child on Parent.Id = Child.Id where Parent.Id %100 =1 and Child.id %100 =1   The execution plan shows that Parallelism was not used Make of that what you will, but i thought that this was a pretty unexpected outcome. Update : Laurence Hoff has mailed me to note that when the OUTPUT results are captured to a temporary table using the INTO clause,  then parallelism is used.  Naturally if you use a table variable then there is still no parallelism  

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  • Devoxx UK JCP & Adopt-a-JSR activities

    - by Heather VanCura
    Devoxx UK starts this week!  The JCP Program is organizing many activities throughout the conference, including some tables in the Hackergarten area on 12-13 June.  Topics include Java EE, Data Grids, Java SE 8 (Lambdas and Date & Time API), Money & Currency API and OpenJDK.  We will have two book signings by Richard Warburton and Peter Pilgrim during the Hackergarten - free signed copy of their books at these times - first come, first served (limited quantities available).  Thursday night is the party and the Birds of a Feather (BoF) sessions - come with your favorite questions and topics related to the JCP, Adopt-a-JSR and Adopt OpenJDK Programs!  See below for the schedule of activities; I will fill in details for each session tomorrow.    Thursday 12 June 10:20 - 12:50 Java EE -- Arun Gupta 13:30-17:00 Lambdas/Date & Time API --Richard Warburton & Raoul-Gabriel Urma (also a book signing with Richard Warburon during the afternoon break) 14:30-17:30 Data Grids - Peter Lawrey 14:30-18:00 Money & Currency -- Anatole Tresch 18:45 Adopt OpenJDK BoF session (Java EE BoF runs concurrently) 19:45 JCP & Adopt-a-JSR BoF session Friday 13 June 10:20-13:00 OpenJDK -- Mani Sarkar  10:20- 14:30 Money & Currency -- Anatole Tresch 10:20 - 13:00 Java EE -- Peter Pilgrim 13:00-13:30 Peter Pilgrim Java EE 7 Book signing sponsored by JCP @ lunch time 13:30 - 15:30 JCP.Next/JSR 364 -- Heather VanCura

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  • SQL SERVER – 2012 – List All The Column With Specific Data Types in Database

    - by pinaldave
    5 years ago I wrote script SQL SERVER – 2005 – List All The Column With Specific Data Types, when I read it again, it is very much relevant and I liked it. This is one of the script which every developer would like to keep it handy. I have upgraded the script bit more. I have included few additional information which I believe I should have added from the beginning. It is difficult to visualize the final script when we are writing it first time. I use every script which I write on this blog, the matter of the fact, I write only those scripts here which I was using at that time. It is quite possible that as time passes by my needs are changing and I change my script. Here is the updated script of this subject. If there are any user data types, it will list the same as well. SELECT s.name AS 'schema', ts.name AS TableName, c.name AS column_name, c.column_id, SCHEMA_NAME(t.schema_id) AS DatatypeSchema, t.name AS Datatypename ,t.is_user_defined, t.is_assembly_type ,c.is_nullable, c.max_length, c.PRECISION, c.scale FROM sys.columns AS c INNER JOIN sys.types AS t ON c.user_type_id=t.user_type_id INNER JOIN sys.tables ts ON ts.OBJECT_ID = c.OBJECT_ID INNER JOIN sys.schemas s ON s.schema_id = t.schema_id ORDER BY s.name, ts.name, c.column_id I would be very interested to see your script which lists all the columns of the database with data types. If I am missing something in my script, I will modify it based on your comment. This way this page will be a good bookmark for the future for all of us. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL DMV, SQL Query, SQL Server, SQL System Table, SQL Tips and Tricks, T SQL, Technology

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  • Problem with WCF-SQL Adapter

    - by Paul Petrov
    When using WCF receive adapter with SQL binding in Polling mode please be aware of the following problem. Problem: At some regular but seemingly random intervals the application stops processing new requests, places a lock on the database and prevent other application from accessing it. Initially it looked like DTC issue, as it was distributed transaction that stalled most of the time. Symptoms: Orchestration instances in Dehydrated state, receive location not picking up new messages, exclusive locks on database tables, errors in DTC trace. Cause: Microsoft has confirmed that there is a bug in the WCF-SQL adapter. In the receive adapter binding configuration there's receiveTimeout property set to 10 minutes by default. If during this period data is not found in the table the adapter would start new thread and allocate more memory without releasing old resources. Thus if there's no new data in the table for a long time a new thread will be created in the host instance every 10 minutes until it reaches threshold (1000) and then there's no threads left for this host instance and it can't start/complete any tasks. Then this host instance won't be able to do anything. If other artifacts are hosted in the instance they will suffer consequences as well. Solution: - Set receiveTimeout to the maximum time 24.20:31:23.6470000. - Place WCF-SQL receive locations in separate host to provide its own thread pool and eliminate impact on other processes - Ensure WCF-SQL dedicated host instances are restarted at interval less or equal to receiveTimeout to flush threads and memory - Monitor performance counters Process/Thread Count/BTSNTSvc{n} for thread count trend and respond to alert if it grows by restarting host instance If you use WCF-SQL Adapter in the Notification mode then make sure to remove sqlAdapterInboundTransactionBehavior otherwise this location will exhibit the same issue. In this case though, setting receiveTimeout doesn't help and new thread will be created at default intervals (10 min) ignoring maximum setting.

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  • What is the best way to work with large databases in Java depending on context?

    - by Singletony
    Hi guys. We are trying to figure out the best practice for working with very large DBs in Java. What we do is a kind of BI, i.e analyzing very large DBs, and using them to create intermediate DBs that represent intelligent knowledge of the DBs. We are currently using JDBC, and just preforming queries using a ResultSet. As more and more data is being created, we are wondering whether more appropriate ways exist for parsing and manipulating these large DBs: We need to support 'chunk' manipulation and not an entire DB at once(e.g. limit in JDBC, very poor performance) We do not need to be constantly connected since we are just pulling results and creating new tables of our own. We want to understand JDBC alternatives, with respect to advantages and disadvantages. Whether you think JDBC is the way to go or not, what are the best practices to go by depending on context (e.g. for large DBs queried in chunks) ? If my question is not clear, I will gladly elaborate! THANK YOU SO MUCH!

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • SSIS ForEachLoop Container

    - by Leonard Mwangi
    I recently had a client request to create an SSIS package that would loop through a set of data in SQL tables to allow them to complete their data transformation processes. Knowing that Integration Services does have ForEachLoop Container, I knew the task would be easy but the moment I jumped into it I figured there was no straight forward way to accomplish the task since for each didn’t really have a loop through the table enumerator. With the capabilities of integration Services, I was still confident that it was possible it was just a matter of creativity to get it done. I set out to discover what different ForEach Loop Editor Enumerators did and settled with Variable Enumerator.  Here is how I accomplished the task. 1.       Drop your ForEach Loop Container in your WorkArea. 2.       Create a few SSIS Variable that will contain the data. Notice I have assigned MyID_ID variable a value of “TEST’ which is not evaluated either. This variable will be assigned data from the database hence allowing us to loop. 3.       In the ForEach Loop Editor’s Collection select Variable Enumerator 4.       Once this is all set, we need a mechanism to grab the data from the SQL Table and assigning it to the variable. Fig: Select Top 1 record Fig: Assign Top 1 record to the variable 5.       Now all that’s required is a house cleaning process that will update the table that you are looping so that you can be able to grab the next record   A look of the complete package

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  • SQL SERVER – 2014 Announced and SQL Server 2014 Datasheet

    - by Pinal Dave
    Earlier this week Microsoft has announced SQL Server 2014. The release date of Trial of SQL Server to be believed later this year. Here are few of the improvements which I was looking forward are there in this release. Please note this is not the exhaustive list of the features of SQL Server 2014. This is the a quick note on the features which I was looking forward and now will be available in this release. Always On supports now 8 secondaries instead of 4 Online Indexing at partition level – this is a good thing as now index rebuilding can be done at a partition level Statistics at the partition level – this will be a huge improvement in performance In-Memory OLTP works by providing in-application memory storage for the most often used tables in SQL Server. (Read More Here) Columnstore Index can be updated – I just can’t wait for this feature (Columnstore Index) Resource Governor can control IO along with CPU and Memory Increase performance by extending SQL Server in-memory buffer pool to SSDs Backup to Azure Storage You can additionally download SQL Server 2014 Datasheet from here. Which is your favorite new feature of SQL Server 2014? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • How do I align my partition table properly?

    - by Jorge Castro
    I am in the process of building my first RAID5 array. I've used mdadm to create the following set up: root@bondigas:~# mdadm --detail /dev/md1 /dev/md1: Version : 00.90 Creation Time : Wed Oct 20 20:00:41 2010 Raid Level : raid5 Array Size : 5860543488 (5589.05 GiB 6001.20 GB) Used Dev Size : 1953514496 (1863.02 GiB 2000.40 GB) Raid Devices : 4 Total Devices : 4 Preferred Minor : 1 Persistence : Superblock is persistent Update Time : Wed Oct 20 20:13:48 2010 State : clean, degraded, recovering Active Devices : 3 Working Devices : 4 Failed Devices : 0 Spare Devices : 1 Layout : left-symmetric Chunk Size : 64K Rebuild Status : 1% complete UUID : f6dc829e:aa29b476:edd1ef19:85032322 (local to host bondigas) Events : 0.12 Number Major Minor RaidDevice State 0 8 16 0 active sync /dev/sdb 1 8 32 1 active sync /dev/sdc 2 8 48 2 active sync /dev/sdd 4 8 64 3 spare rebuilding /dev/sde While that's going I decided to format the beast with the following command: root@bondigas:~# mkfs.ext4 /dev/md1p1 mke2fs 1.41.11 (14-Mar-2010) /dev/md1p1 alignment is offset by 63488 bytes. This may result in very poor performance, (re)-partitioning suggested. Filesystem label= OS type: Linux Block size=4096 (log=2) Fragment size=4096 (log=2) Stride=16 blocks, Stripe width=48 blocks 97853440 inodes, 391394047 blocks 19569702 blocks (5.00%) reserved for the super user First data block=0 Maximum filesystem blocks=0 11945 block groups 32768 blocks per group, 32768 fragments per group 8192 inodes per group Superblock backups stored on blocks: 32768, 98304, 163840, 229376, 294912, 819200, 884736, 1605632, 2654208, 4096000, 7962624, 11239424, 20480000, 23887872, 71663616, 78675968, 102400000, 214990848 Writing inode tables: ^C 27/11945 root@bondigas:~# ^C I am unsure what to do about "/dev/md1p1 alignment is offset by 63488 bytes." and how to properly partition the disks to match so I can format it properly.

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  • Tale of an Encrypted SSIS Package in msdb and a Lost Password

    - by Argenis
      Yesterday a Developer at work asked for a copy of an SSIS package in Production so he could work on it (please, dear Reader – withhold judgment on Source Control – I know!). I logged on to the SSIS instance, and when I went to export the package… Oops. I didn’t have that password. The DBA who uploaded the package to Production is long gone; my fellow DBA had no idea either - and the Devs returned a cricket sound when queried. So I posed the obligatory question on #SQLHelp and a bunch of folks jumped in – some to help and some to make fun of me (thanks, @SQLSoldier @crummel4 @maryarcia and @sqljoe). I tried their suggestions to no avail…even ran some queries to see if I could figure out how to extract the package XML from the system tables in msdb:   SELECT CAST(CAST(p.packagedata AS varbinary(max)) AS varchar(max)) FROM msdb.dbo.sysssispackages p WHERE p.name = 'LePackage'   This just returned a bunch of XML with encrypted data on it:  I knew there was a job in SQL Agent scheduled to execute the package, and when I tried to look at details on the job step I got the following: Not very helpful. The password had to be saved somewhere, but where?? All of a sudden I remembered that there was a system table I hadn’t queried yet: SELECT sjs.command FROM msdb.dbo.sysjobs sj JOIN msdb.dbo.sysjobsteps sjs ON sj.job_id = sjs.job_id WHERE sj.name = 'Run LePackage' The result: “Well, that’s really secure”, I thought to myself. Cheers, -Argenis

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